Pandas Profiling Report

Dataset statistics

Number of variables	36
Number of observations	858
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	20
Duplicate rows (%)	2.3%
Total size in memory	241.4 KiB
Average record size in memory	288.1 B

Variable types

Numeric	6
Categorical	29
Text	1

Alerts

Dataset has 20 (2.3%) duplicate rows	Duplicates
`Smokes (years)` is highly overall correlated with `Smokes`	High correlation
`Smokes` is highly overall correlated with `Smokes (years)`	High correlation
`Hormonal Contraceptives` is highly overall correlated with `IUD` and 15 other fields	High correlation
`IUD` is highly overall correlated with `Hormonal Contraceptives` and 15 other fields	High correlation
`IUD (years)` is highly overall correlated with `Hormonal Contraceptives` and 14 other fields	High correlation
`STDs` is highly overall correlated with `Hormonal Contraceptives` and 18 other fields	High correlation
`STDs (number)` is highly overall correlated with `Hormonal Contraceptives` and 16 other fields	High correlation
`STDs:condylomatosis` is highly overall correlated with `Hormonal Contraceptives` and 17 other fields	High correlation
`STDs:cervical condylomatosis` is highly overall correlated with `Hormonal Contraceptives` and 15 other fields	High correlation
`STDs:vaginal condylomatosis` is highly overall correlated with `Hormonal Contraceptives` and 15 other fields	High correlation
`STDs:vulvo-perineal condylomatosis` is highly overall correlated with `Hormonal Contraceptives` and 17 other fields	High correlation
`STDs:syphilis` is highly overall correlated with `Hormonal Contraceptives` and 15 other fields	High correlation
`STDs:pelvic inflammatory disease` is highly overall correlated with `Hormonal Contraceptives` and 15 other fields	High correlation
`STDs:genital herpes` is highly overall correlated with `Hormonal Contraceptives` and 15 other fields	High correlation
`STDs:molluscum contagiosum` is highly overall correlated with `Hormonal Contraceptives` and 15 other fields	High correlation
`STDs:AIDS` is highly overall correlated with `Hormonal Contraceptives` and 15 other fields	High correlation
`STDs:HIV` is highly overall correlated with `Hormonal Contraceptives` and 15 other fields	High correlation
`STDs:Hepatitis B` is highly overall correlated with `Hormonal Contraceptives` and 15 other fields	High correlation
`STDs:HPV` is highly overall correlated with `Hormonal Contraceptives` and 15 other fields	High correlation
`STDs: Number of diagnosis` is highly overall correlated with `STDs` and 3 other fields	High correlation
`STDs: Time since first diagnosis` is highly overall correlated with `STDs` and 5 other fields	High correlation
`STDs: Time since last diagnosis` is highly overall correlated with `STDs` and 4 other fields	High correlation
`Dx:Cancer` is highly overall correlated with `Dx:HPV` and 1 other fields	High correlation
`Dx:CIN` is highly overall correlated with `Dx`	High correlation
`Dx:HPV` is highly overall correlated with `Dx:Cancer` and 1 other fields	High correlation
`Dx` is highly overall correlated with `Dx:Cancer` and 2 other fields	High correlation
`Hinselmann` is highly overall correlated with `Schiller` and 1 other fields	High correlation
`Schiller` is highly overall correlated with `Hinselmann` and 1 other fields	High correlation
`Biopsy` is highly overall correlated with `Hinselmann` and 1 other fields	High correlation
`Smokes` is highly imbalanced (55.7%)	Imbalance
`IUD (years)` is highly imbalanced (70.5%)	Imbalance
`STDs (number)` is highly imbalanced (57.7%)	Imbalance
`STDs:vaginal condylomatosis` is highly imbalanced (63.5%)	Imbalance
`STDs:syphilis` is highly imbalanced (57.2%)	Imbalance
`STDs:pelvic inflammatory disease` is highly imbalanced (65.4%)	Imbalance
`STDs:genital herpes` is highly imbalanced (65.4%)	Imbalance
`STDs:molluscum contagiosum` is highly imbalanced (65.4%)	Imbalance
`STDs:HIV` is highly imbalanced (57.2%)	Imbalance
`STDs:Hepatitis B` is highly imbalanced (65.4%)	Imbalance
`STDs:HPV` is highly imbalanced (64.7%)	Imbalance
`STDs: Number of diagnosis` is highly imbalanced (78.2%)	Imbalance
`STDs: Time since first diagnosis` is highly imbalanced (83.2%)	Imbalance
`STDs: Time since last diagnosis` is highly imbalanced (83.4%)	Imbalance
`Dx:Cancer` is highly imbalanced (85.3%)	Imbalance
`Dx:CIN` is highly imbalanced (91.6%)	Imbalance
`Dx:HPV` is highly imbalanced (85.3%)	Imbalance
`Dx` is highly imbalanced (81.6%)	Imbalance
`Hinselmann` is highly imbalanced (75.4%)	Imbalance
`Schiller` is highly imbalanced (57.6%)	Imbalance
`Citology` is highly imbalanced (70.8%)	Imbalance
`Biopsy` is highly imbalanced (65.6%)	Imbalance
`Number of sexual partners` has 26 (3.0%) zeros	Zeros
`Num of pregnancies` has 72 (8.4%) zeros	Zeros
`Smokes (years)` has 735 (85.7%) zeros	Zeros
`Hormonal Contraceptives (years)` has 377 (43.9%) zeros	Zeros

Reproduction

Analysis started	2023-07-23 01:14:08.700549
Analysis finished	2023-07-23 01:14:30.838090
Duration	22.14 seconds
Software version	ydata-profiling vv4.3.2
Download configuration	config.json

Age
Real number (ℝ)

Distinct	44
Distinct (%)	5.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	26.820513

Minimum	13
Maximum	84
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.8 KiB

Quantile statistics

Minimum	13
5-th percentile	16
Q1	20
median	25
Q3	32
95-th percentile	41
Maximum	84
Range	71
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	8.4979481
Coefficient of variation (CV)	0.3168451
Kurtosis	4.7785751
Mean	26.820513
Median Absolute Deviation (MAD)	5.5
Skewness	1.3942788
Sum	23012
Variance	72.215121
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=44)

Value	Count	Frequency (%)
23	54	6.3%
18	50	5.8%
21	46	5.4%
20	45	5.2%
19	44	5.1%
24	39	4.5%
25	39	4.5%
26	38	4.4%
28	37	4.3%
17	35	4.1%
Other values (34)	431	50.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
13	1	0.1%
14	5	0.6%
15	21	2.4%
16	23	2.7%
17	35	4.1%
18	50	5.8%
19	44	5.1%
20	45	5.2%
21	46	5.4%
22	30	3.5%

Value	Count	Frequency (%)
84	1	0.1%
79	1	0.1%
70	2	0.2%
59	1	0.1%
52	2	0.2%
51	1	0.1%
50	1	0.1%
49	2	0.2%
48	2	0.2%
47	1	0.1%

Number of sexual partners
Real number (ℝ)

ZEROS

Distinct	13
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.451049

Minimum	0
Maximum	28
Zeros	26
Zeros (%)	3.0%
Negative	0
Negative (%)	0.0%
Memory size	6.8 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	5
Maximum	28
Range	28
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.6985285
Coefficient of variation (CV)	0.69298022
Kurtosis	63.113561
Mean	2.451049
Median Absolute Deviation (MAD)	1
Skewness	5.0420193
Sum	2103
Variance	2.8849989
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
2	272	31.7%
3	208	24.2%
1	206	24.0%
4	78	9.1%
5	44	5.1%
0	26	3.0%
6	9	1.0%
7	7	0.8%
8	4	0.5%
15	1	0.1%
Other values (3)	3	0.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	26	3.0%
1	206	24.0%
2	272	31.7%
3	208	24.2%
4	78	9.1%
5	44	5.1%
6	9	1.0%
7	7	0.8%
8	4	0.5%
9	1	0.1%

Value	Count	Frequency (%)
28	1	0.1%
15	1	0.1%
10	1	0.1%
9	1	0.1%
8	4	0.5%
7	7	0.8%
6	9	1.0%
5	44	5.1%
4	78	9.1%
3	208	24.2%

First sexual intercourse
Real number (ℝ)

Distinct	22
Distinct (%)	2.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16.856643

Minimum	0
Maximum	32
Zeros	7
Zeros (%)	0.8%
Negative	0
Negative (%)	0.0%
Memory size	6.8 KiB

Quantile statistics

Minimum	0
5-th percentile	14
Q1	15
median	17
Q3	18
95-th percentile	22
Maximum	32
Range	32
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	3.1834914
Coefficient of variation (CV)	0.18885678
Kurtosis	8.0024548
Mean	16.856643
Median Absolute Deviation (MAD)	2
Skewness	-0.055143674
Sum	14463
Variance	10.134617
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
15	163	19.0%
17	151	17.6%
18	137	16.0%
16	121	14.1%
14	79	9.2%
19	60	7.0%
20	37	4.3%
13	25	2.9%
21	20	2.3%
23	9	1.0%
Other values (12)	56	6.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	7	0.8%
10	2	0.2%
11	2	0.2%
12	6	0.7%
13	25	2.9%
14	79	9.2%
15	163	19.0%
16	121	14.1%
17	151	17.6%
18	137	16.0%

Value	Count	Frequency (%)
32	1	0.1%
29	5	0.6%
28	3	0.3%
27	6	0.7%
26	7	0.8%
25	2	0.2%
24	6	0.7%
23	9	1.0%
22	9	1.0%
21	20	2.3%

Num of pregnancies
Real number (ℝ)

ZEROS

Distinct	11
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.1270396

Minimum	0
Maximum	11
Zeros	72
Zeros (%)	8.4%
Negative	0
Negative (%)	0.0%
Memory size	6.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	3
95-th percentile	5
Maximum	11
Range	11
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.5081083
Coefficient of variation (CV)	0.70901747
Kurtosis	2.6997838
Mean	2.1270396
Median Absolute Deviation (MAD)	1
Skewness	1.248135
Sum	1825
Variance	2.2743905
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
1	270	31.5%
2	240	28.0%
3	139	16.2%
4	74	8.6%
0	72	8.4%
5	35	4.1%
6	18	2.1%
7	6	0.7%
8	2	0.2%
11	1	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	72	8.4%
1	270	31.5%
2	240	28.0%
3	139	16.2%
4	74	8.6%
5	35	4.1%
6	18	2.1%
7	6	0.7%
8	2	0.2%
10	1	0.1%

Value	Count	Frequency (%)
11	1	0.1%
10	1	0.1%
8	2	0.2%
7	6	0.7%
6	18	2.1%
5	35	4.1%
4	74	8.6%
3	139	16.2%
2	240	28.0%
1	270	31.5%

Smokes
Categorical

HIGH CORRELATION IMBALANCE

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0.0	722
1.0	123
?	13

Length

Max length	3
Median length	3
Mean length	2.969697
Min length	1

Characters and Unicode

Total characters	2548
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	722	84.1%
1.0	123	14.3%
?	13	1.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	722	84.1%
1.0	123	14.3%
	13	1.5%

Most occurring characters

Value	Count	Frequency (%)
0	1567	61.5%
.	845	33.2%
1	123	4.8%
?	13	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1690	66.3%
Other Punctuation	858	33.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1567	92.7%
1	123	7.3%

Other Punctuation

Value	Count	Frequency (%)
.	845	98.5%
?	13	1.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	2548	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1567	61.5%
.	845	33.2%
1	123	4.8%
?	13	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2548	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1567	61.5%
.	845	33.2%
1	123	4.8%
?	13	0.5%

Smokes (years)
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	30
Distinct (%)	3.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.2012408

Minimum	0
Maximum	37
Zeros	735
Zeros (%)	85.7%
Negative	0
Negative (%)	0.0%
Memory size	6.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	9.15
Maximum	37
Range	37
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	4.0606225
Coefficient of variation (CV)	3.3803569
Kurtosis	24.187248
Mean	1.2012408
Median Absolute Deviation (MAD)	0
Skewness	4.5037601
Sum	1030.6646
Variance	16.488655
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
0	735	85.7%
1.266972909	15	1.7%
5	9	1.0%
9	9	1.0%
1	8	0.9%
3	7	0.8%
2	7	0.8%
16	6	0.7%
7	6	0.7%
8	6	0.7%
Other values (20)	50	5.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	735	85.7%
0.16	1	0.1%
0.5	3	0.3%
1	8	0.9%
1.266972909	15	1.7%
2	7	0.8%
3	7	0.8%
4	5	0.6%
5	9	1.0%
6	4	0.5%

Value	Count	Frequency (%)
37	1	0.1%
34	1	0.1%
32	1	0.1%
28	1	0.1%
24	1	0.1%
22	2	0.2%
21	1	0.1%
20	1	0.1%
19	3	0.3%
18	1	0.1%

Smokes (packs/year)
Text

Distinct	63
Distinct (%)	7.3%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

Length

Max length	12
Median length	3
Mean length	3.2016317
Min length	1

Characters and Unicode

Total characters	2747
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	36 ?
Unique (%)	4.2%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	37.0
5th row	0.0

Value	Count	Frequency (%)
0.0	722	84.1%
0.5132021277	18	2.1%
	13	1.5%
1.0	6	0.7%
3.0	5	0.6%
2.0	4	0.5%
0.75	4	0.5%
1.2	4	0.5%
0.2	4	0.5%
0.05	4	0.5%
Other values (53)	74	8.6%

Most occurring characters

Value	Count	Frequency (%)
0	1561	56.8%
.	845	30.8%
2	89	3.2%
1	69	2.5%
5	50	1.8%
7	50	1.8%
3	36	1.3%
?	13	0.5%
4	13	0.5%
6	10	0.4%
Other values (2)	11	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1889	68.8%
Other Punctuation	858	31.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1561	82.6%
2	89	4.7%
1	69	3.7%
5	50	2.6%
7	50	2.6%
3	36	1.9%
4	13	0.7%
6	10	0.5%
8	7	0.4%
9	4	0.2%

Other Punctuation

Value	Count	Frequency (%)
.	845	98.5%
?	13	1.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	2747	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1561	56.8%
.	845	30.8%
2	89	3.2%
1	69	2.5%
5	50	1.8%
7	50	1.8%
3	36	1.3%
?	13	0.5%
4	13	0.5%
6	10	0.4%
Other values (2)	11	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2747	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1561	56.8%
.	845	30.8%
2	89	3.2%
1	69	2.5%
5	50	1.8%
7	50	1.8%
3	36	1.3%
?	13	0.5%
4	13	0.5%
6	10	0.4%
Other values (2)	11	0.4%

Hormonal Contraceptives
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

1.0	481
0.0	269
?	108

Length

Max length	3
Median length	3
Mean length	2.7482517
Min length	1

Characters and Unicode

Total characters	2358
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	481	56.1%
0.0	269	31.4%
?	108	12.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	481	56.1%
0.0	269	31.4%
	108	12.6%

Most occurring characters

Value	Count	Frequency (%)
0	1019	43.2%
.	750	31.8%
1	481	20.4%
?	108	4.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1500	63.6%
Other Punctuation	858	36.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1019	67.9%
1	481	32.1%

Other Punctuation

Value	Count	Frequency (%)
.	750	87.4%
?	108	12.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	2358	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1019	43.2%
.	750	31.8%
1	481	20.4%
?	108	4.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2358	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1019	43.2%
.	750	31.8%
1	481	20.4%
?	108	4.6%

Hormonal Contraceptives (years)
Real number (ℝ)

ZEROS

Distinct	40
Distinct (%)	4.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.9723944

Minimum	0
Maximum	30
Zeros	377
Zeros (%)	43.9%
Negative	0
Negative (%)	0.0%
Memory size	6.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0.25
Q3	2
95-th percentile	9
Maximum	30
Range	30
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	3.5978882
Coefficient of variation (CV)	1.8241221
Kurtosis	10.482291
Mean	1.9723944
Median Absolute Deviation (MAD)	0.25
Skewness	2.8346558
Sum	1692.3144
Variance	12.944799
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
0	377	43.9%
1	77	9.0%
0.25	41	4.8%
2	40	4.7%
3	39	4.5%
5	34	4.0%
0.08	25	2.9%
0.5	25	2.9%
6	24	2.8%
4	22	2.6%
Other values (30)	154	17.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	377	43.9%
0.08	25	2.9%
0.16	16	1.9%
0.17	1	0.1%
0.25	41	4.8%
0.33	9	1.0%
0.41	1	0.1%
0.42	8	0.9%
0.5	25	2.9%
0.58	6	0.7%

Value	Count	Frequency (%)
30	1	0.1%
22	1	0.1%
20	4	0.5%
19	2	0.2%
17	1	0.1%
16	2	0.2%
15	6	0.7%
14	2	0.2%
13	2	0.2%
12	4	0.5%

IUD
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0.0	658
?	117
1.0	83

Length

Max length	3
Median length	3
Mean length	2.7272727
Min length	1

Characters and Unicode

Total characters	2340
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	658	76.7%
?	117	13.6%
1.0	83	9.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	658	76.7%
	117	13.6%
1.0	83	9.7%

Most occurring characters

Value	Count	Frequency (%)
0	1399	59.8%
.	741	31.7%
?	117	5.0%
1	83	3.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1482	63.3%
Other Punctuation	858	36.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1399	94.4%
1	83	5.6%

Other Punctuation

Value	Count	Frequency (%)
.	741	86.4%
?	117	13.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	2340	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1399	59.8%
.	741	31.7%
?	117	5.0%
1	83	3.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2340	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1399	59.8%
.	741	31.7%
?	117	5.0%
1	83	3.5%

IUD (years)
Categorical

HIGH CORRELATION IMBALANCE

Distinct	27
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0.0	658
?	117
3.0	11
2.0	10
5.0	9
Other values (22)	53

Length

Max length	4
Median length	3
Mean length	2.7470862
Min length	1

Characters and Unicode

Total characters	2357
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	14 ?
Unique (%)	1.6%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	658	76.7%
?	117	13.6%
3.0	11	1.3%
2.0	10	1.2%
5.0	9	1.0%
1.0	8	0.9%
8.0	7	0.8%
7.0	7	0.8%
6.0	5	0.6%
4.0	5	0.6%
Other values (17)	21	2.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	658	76.7%
	117	13.6%
3.0	11	1.3%
2.0	10	1.2%
5.0	9	1.0%
1.0	8	0.9%
8.0	7	0.8%
7.0	7	0.8%
4.0	5	0.6%
6.0	5	0.6%
Other values (17)	21	2.4%

Most occurring characters

Value	Count	Frequency (%)
0	1401	59.4%
.	741	31.4%
?	117	5.0%
1	24	1.0%
5	15	0.6%
3	13	0.6%
2	12	0.5%
8	10	0.4%
7	9	0.4%
6	6	0.3%
Other values (2)	9	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1499	63.6%
Other Punctuation	858	36.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1401	93.5%
1	24	1.6%
5	15	1.0%
3	13	0.9%
2	12	0.8%
8	10	0.7%
7	9	0.6%
6	6	0.4%
4	6	0.4%
9	3	0.2%

Other Punctuation

Value	Count	Frequency (%)
.	741	86.4%
?	117	13.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	2357	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1401	59.4%
.	741	31.4%
?	117	5.0%
1	24	1.0%
5	15	0.6%
3	13	0.6%
2	12	0.5%
8	10	0.4%
7	9	0.4%
6	6	0.3%
Other values (2)	9	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2357	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1401	59.4%
.	741	31.4%
?	117	5.0%
1	24	1.0%
5	15	0.6%
3	13	0.6%
2	12	0.5%
8	10	0.4%
7	9	0.4%
6	6	0.3%
Other values (2)	9	0.4%

STDs
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0.0	674
?	105
1.0	79

Length

Max length	3
Median length	3
Mean length	2.7552448
Min length	1

Characters and Unicode

Total characters	2364
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	674	78.6%
?	105	12.2%
1.0	79	9.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	674	78.6%
	105	12.2%
1.0	79	9.2%

Most occurring characters

Value	Count	Frequency (%)
0	1427	60.4%
.	753	31.9%
?	105	4.4%
1	79	3.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1506	63.7%
Other Punctuation	858	36.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1427	94.8%
1	79	5.2%

Other Punctuation

Value	Count	Frequency (%)
.	753	87.8%
?	105	12.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	2364	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1427	60.4%
.	753	31.9%
?	105	4.4%
1	79	3.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2364	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1427	60.4%
.	753	31.9%
?	105	4.4%
1	79	3.3%

STDs (number)
Categorical

HIGH CORRELATION IMBALANCE

Distinct	6
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0.0	674
?	105
2.0	37
1.0	34
3.0	7

Length

Max length	3
Median length	3
Mean length	2.7552448
Min length	1

Characters and Unicode

Total characters	2364
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	674	78.6%
?	105	12.2%
2.0	37	4.3%
1.0	34	4.0%
3.0	7	0.8%
4.0	1	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	674	78.6%
	105	12.2%
2.0	37	4.3%
1.0	34	4.0%
3.0	7	0.8%
4.0	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	1427	60.4%
.	753	31.9%
?	105	4.4%
2	37	1.6%
1	34	1.4%
3	7	0.3%
4	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1506	63.7%
Other Punctuation	858	36.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1427	94.8%
2	37	2.5%
1	34	2.3%
3	7	0.5%
4	1	0.1%

Other Punctuation

Value	Count	Frequency (%)
.	753	87.8%
?	105	12.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	2364	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1427	60.4%
.	753	31.9%
?	105	4.4%
2	37	1.6%
1	34	1.4%
3	7	0.3%
4	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2364	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1427	60.4%
.	753	31.9%
?	105	4.4%
2	37	1.6%
1	34	1.4%
3	7	0.3%
4	1	< 0.1%

STDs:condylomatosis
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0.0	709
?	105
1.0	44

Length

Max length	3
Median length	3
Mean length	2.7552448
Min length	1

Characters and Unicode

Total characters	2364
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	709	82.6%
?	105	12.2%
1.0	44	5.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	709	82.6%
	105	12.2%
1.0	44	5.1%

Most occurring characters

Value	Count	Frequency (%)
0	1462	61.8%
.	753	31.9%
?	105	4.4%
1	44	1.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1506	63.7%
Other Punctuation	858	36.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1462	97.1%
1	44	2.9%

Other Punctuation

Value	Count	Frequency (%)
.	753	87.8%
?	105	12.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	2364	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1462	61.8%
.	753	31.9%
?	105	4.4%
1	44	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2364	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1462	61.8%
.	753	31.9%
?	105	4.4%
1	44	1.9%

STDs:cervical condylomatosis
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0.0	753
?	105

Length

Max length	3
Median length	3
Mean length	2.7552448
Min length	1

Characters and Unicode

Total characters	2364
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	753	87.8%
?	105	12.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	753	87.8%
	105	12.2%

Most occurring characters

Value	Count	Frequency (%)
0	1506	63.7%
.	753	31.9%
?	105	4.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1506	63.7%
Other Punctuation	858	36.3%

Most frequent character per category

Other Punctuation

Value	Count	Frequency (%)
.	753	87.8%
?	105	12.2%

Decimal Number

Value	Count	Frequency (%)
0	1506	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2364	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1506	63.7%
.	753	31.9%
?	105	4.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2364	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1506	63.7%
.	753	31.9%
?	105	4.4%

STDs:vaginal condylomatosis
Categorical

HIGH CORRELATION IMBALANCE

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0.0	749
?	105
1.0	4

Length

Max length	3
Median length	3
Mean length	2.7552448
Min length	1

Characters and Unicode

Total characters	2364
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	749	87.3%
?	105	12.2%
1.0	4	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	749	87.3%
	105	12.2%
1.0	4	0.5%

Most occurring characters

Value	Count	Frequency (%)
0	1502	63.5%
.	753	31.9%
?	105	4.4%
1	4	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1506	63.7%
Other Punctuation	858	36.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1502	99.7%
1	4	0.3%

Other Punctuation

Value	Count	Frequency (%)
.	753	87.8%
?	105	12.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	2364	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1502	63.5%
.	753	31.9%
?	105	4.4%
1	4	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2364	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1502	63.5%
.	753	31.9%
?	105	4.4%
1	4	0.2%

STDs:vulvo-perineal condylomatosis
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0.0	710
?	105
1.0	43

Length

Max length	3
Median length	3
Mean length	2.7552448
Min length	1

Characters and Unicode

Total characters	2364
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	710	82.8%
?	105	12.2%
1.0	43	5.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	710	82.8%
	105	12.2%
1.0	43	5.0%

Most occurring characters

Value	Count	Frequency (%)
0	1463	61.9%
.	753	31.9%
?	105	4.4%
1	43	1.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1506	63.7%
Other Punctuation	858	36.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1463	97.1%
1	43	2.9%

Other Punctuation

Value	Count	Frequency (%)
.	753	87.8%
?	105	12.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	2364	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1463	61.9%
.	753	31.9%
?	105	4.4%
1	43	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2364	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1463	61.9%
.	753	31.9%
?	105	4.4%
1	43	1.8%

STDs:syphilis
Categorical

HIGH CORRELATION IMBALANCE

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0.0	735
?	105
1.0	18

Length

Max length	3
Median length	3
Mean length	2.7552448
Min length	1

Characters and Unicode

Total characters	2364
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	735	85.7%
?	105	12.2%
1.0	18	2.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	735	85.7%
	105	12.2%
1.0	18	2.1%

Most occurring characters

Value	Count	Frequency (%)
0	1488	62.9%
.	753	31.9%
?	105	4.4%
1	18	0.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1506	63.7%
Other Punctuation	858	36.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1488	98.8%
1	18	1.2%

Other Punctuation

Value	Count	Frequency (%)
.	753	87.8%
?	105	12.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	2364	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1488	62.9%
.	753	31.9%
?	105	4.4%
1	18	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2364	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1488	62.9%
.	753	31.9%
?	105	4.4%
1	18	0.8%

STDs:pelvic inflammatory disease
Categorical

HIGH CORRELATION IMBALANCE

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0.0	752
?	105
1.0	1

Length

Max length	3
Median length	3
Mean length	2.7552448
Min length	1

Characters and Unicode

Total characters	2364
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	752	87.6%
?	105	12.2%
1.0	1	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	752	87.6%
	105	12.2%
1.0	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	1505	63.7%
.	753	31.9%
?	105	4.4%
1	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1506	63.7%
Other Punctuation	858	36.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1505	99.9%
1	1	0.1%

Other Punctuation

Value	Count	Frequency (%)
.	753	87.8%
?	105	12.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	2364	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1505	63.7%
.	753	31.9%
?	105	4.4%
1	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2364	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1505	63.7%
.	753	31.9%
?	105	4.4%
1	1	< 0.1%

STDs:genital herpes
Categorical

HIGH CORRELATION IMBALANCE

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0.0	752
?	105
1.0	1

Length

Max length	3
Median length	3
Mean length	2.7552448
Min length	1

Characters and Unicode

Total characters	2364
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	752	87.6%
?	105	12.2%
1.0	1	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	752	87.6%
	105	12.2%
1.0	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	1505	63.7%
.	753	31.9%
?	105	4.4%
1	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1506	63.7%
Other Punctuation	858	36.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1505	99.9%
1	1	0.1%

Other Punctuation

Value	Count	Frequency (%)
.	753	87.8%
?	105	12.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	2364	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1505	63.7%
.	753	31.9%
?	105	4.4%
1	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2364	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1505	63.7%
.	753	31.9%
?	105	4.4%
1	1	< 0.1%

STDs:molluscum contagiosum
Categorical

HIGH CORRELATION IMBALANCE

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0.0	752
?	105
1.0	1

Length

Max length	3
Median length	3
Mean length	2.7552448
Min length	1

Characters and Unicode

Total characters	2364
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	752	87.6%
?	105	12.2%
1.0	1	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	752	87.6%
	105	12.2%
1.0	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	1505	63.7%
.	753	31.9%
?	105	4.4%
1	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1506	63.7%
Other Punctuation	858	36.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1505	99.9%
1	1	0.1%

Other Punctuation

Value	Count	Frequency (%)
.	753	87.8%
?	105	12.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	2364	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1505	63.7%
.	753	31.9%
?	105	4.4%
1	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2364	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1505	63.7%
.	753	31.9%
?	105	4.4%
1	1	< 0.1%

STDs:AIDS
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0.0	753
?	105

Length

Max length	3
Median length	3
Mean length	2.7552448
Min length	1

Characters and Unicode

Total characters	2364
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	753	87.8%
?	105	12.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	753	87.8%
	105	12.2%

Most occurring characters

Value	Count	Frequency (%)
0	1506	63.7%
.	753	31.9%
?	105	4.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1506	63.7%
Other Punctuation	858	36.3%

Most frequent character per category

Other Punctuation

Value	Count	Frequency (%)
.	753	87.8%
?	105	12.2%

Decimal Number

Value	Count	Frequency (%)
0	1506	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2364	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1506	63.7%
.	753	31.9%
?	105	4.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2364	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1506	63.7%
.	753	31.9%
?	105	4.4%

STDs:HIV
Categorical

HIGH CORRELATION IMBALANCE

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0.0	735
?	105
1.0	18

Length

Max length	3
Median length	3
Mean length	2.7552448
Min length	1

Characters and Unicode

Total characters	2364
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	735	85.7%
?	105	12.2%
1.0	18	2.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	735	85.7%
	105	12.2%
1.0	18	2.1%

Most occurring characters

Value	Count	Frequency (%)
0	1488	62.9%
.	753	31.9%
?	105	4.4%
1	18	0.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1506	63.7%
Other Punctuation	858	36.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1488	98.8%
1	18	1.2%

Other Punctuation

Value	Count	Frequency (%)
.	753	87.8%
?	105	12.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	2364	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1488	62.9%
.	753	31.9%
?	105	4.4%
1	18	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2364	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1488	62.9%
.	753	31.9%
?	105	4.4%
1	18	0.8%

STDs:Hepatitis B
Categorical

HIGH CORRELATION IMBALANCE

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0.0	752
?	105
1.0	1

Length

Max length	3
Median length	3
Mean length	2.7552448
Min length	1

Characters and Unicode

Total characters	2364
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	752	87.6%
?	105	12.2%
1.0	1	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	752	87.6%
	105	12.2%
1.0	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	1505	63.7%
.	753	31.9%
?	105	4.4%
1	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1506	63.7%
Other Punctuation	858	36.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1505	99.9%
1	1	0.1%

Other Punctuation

Value	Count	Frequency (%)
.	753	87.8%
?	105	12.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	2364	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1505	63.7%
.	753	31.9%
?	105	4.4%
1	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2364	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1505	63.7%
.	753	31.9%
?	105	4.4%
1	1	< 0.1%

STDs:HPV
Categorical

HIGH CORRELATION IMBALANCE

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0.0	751
?	105
1.0	2

Length

Max length	3
Median length	3
Mean length	2.7552448
Min length	1

Characters and Unicode

Total characters	2364
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	751	87.5%
?	105	12.2%
1.0	2	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	751	87.5%
	105	12.2%
1.0	2	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	1504	63.6%
.	753	31.9%
?	105	4.4%
1	2	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1506	63.7%
Other Punctuation	858	36.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1504	99.9%
1	2	0.1%

Other Punctuation

Value	Count	Frequency (%)
.	753	87.8%
?	105	12.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	2364	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1504	63.6%
.	753	31.9%
?	105	4.4%
1	2	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2364	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1504	63.6%
.	753	31.9%
?	105	4.4%
1	2	0.1%

STDs: Number of diagnosis
Categorical

HIGH CORRELATION IMBALANCE

Distinct	4
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0	787
1	68
2	2
3	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	858
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	787	91.7%
1	68	7.9%
2	2	0.2%
3	1	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	787	91.7%
1	68	7.9%
2	2	0.2%
3	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	787	91.7%
1	68	7.9%
2	2	0.2%
3	1	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	858	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	787	91.7%
1	68	7.9%
2	2	0.2%
3	1	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	858	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	787	91.7%
1	68	7.9%
2	2	0.2%
3	1	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	858	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	787	91.7%
1	68	7.9%
2	2	0.2%
3	1	0.1%

STDs: Time since first diagnosis
Categorical

HIGH CORRELATION IMBALANCE

Distinct	19
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

?	787
1.0	15
3.0	10
2.0	9
4.0	6
Other values (14)	31

Length

Max length	4
Median length	1
Mean length	1.1829837
Min length	1

Characters and Unicode

Total characters	1015
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	0.7%

Sample

1st row	?
2nd row	?
3rd row	?
4th row	?
5th row	?

Common Values

Value	Count	Frequency (%)
?	787	91.7%
1.0	15	1.7%
3.0	10	1.2%
2.0	9	1.0%
4.0	6	0.7%
7.0	5	0.6%
16.0	4	0.5%
5.0	4	0.5%
6.0	3	0.3%
8.0	3	0.3%
Other values (9)	12	1.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	787	91.7%
1.0	15	1.7%
3.0	10	1.2%
2.0	9	1.0%
4.0	6	0.7%
7.0	5	0.6%
16.0	4	0.5%
5.0	4	0.5%
8.0	3	0.3%
6.0	3	0.3%
Other values (9)	12	1.4%

Most occurring characters

Value	Count	Frequency (%)
?	787	77.5%
0	72	7.1%
.	71	7.0%
1	31	3.1%
2	14	1.4%
3	10	1.0%
6	7	0.7%
4	6	0.6%
7	5	0.5%
5	5	0.5%
Other values (2)	7	0.7%

Most occurring categories

Value	Count	Frequency (%)
Other Punctuation	858	84.5%
Decimal Number	157	15.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	72	45.9%
1	31	19.7%
2	14	8.9%
3	10	6.4%
6	7	4.5%
4	6	3.8%
7	5	3.2%
5	5	3.2%
8	4	2.5%
9	3	1.9%

Other Punctuation

Value	Count	Frequency (%)
?	787	91.7%
.	71	8.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	1015	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
?	787	77.5%
0	72	7.1%
.	71	7.0%
1	31	3.1%
2	14	1.4%
3	10	1.0%
6	7	0.7%
4	6	0.6%
7	5	0.5%
5	5	0.5%
Other values (2)	7	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1015	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
?	787	77.5%
0	72	7.1%
.	71	7.0%
1	31	3.1%
2	14	1.4%
3	10	1.0%
6	7	0.7%
4	6	0.6%
7	5	0.5%
5	5	0.5%
Other values (2)	7	0.7%

STDs: Time since last diagnosis
Categorical

HIGH CORRELATION IMBALANCE

Distinct	19
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

?	787
1.0	17
2.0	10
3.0	9
4.0	6
Other values (14)	29

Length

Max length	4
Median length	1
Mean length	1.1818182
Min length	1

Characters and Unicode

Total characters	1014
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	0.8%

Sample

1st row	?
2nd row	?
3rd row	?
4th row	?
5th row	?

Common Values

Value	Count	Frequency (%)
?	787	91.7%
1.0	17	2.0%
2.0	10	1.2%
3.0	9	1.0%
4.0	6	0.7%
7.0	5	0.6%
16.0	4	0.5%
8.0	3	0.3%
6.0	3	0.3%
5.0	3	0.3%
Other values (9)	11	1.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	787	91.7%
1.0	17	2.0%
2.0	10	1.2%
3.0	9	1.0%
4.0	6	0.7%
7.0	5	0.6%
16.0	4	0.5%
6.0	3	0.3%
5.0	3	0.3%
8.0	3	0.3%
Other values (9)	11	1.3%

Most occurring characters

Value	Count	Frequency (%)
?	787	77.6%
0	72	7.1%
.	71	7.0%
1	32	3.2%
2	15	1.5%
3	9	0.9%
6	7	0.7%
4	6	0.6%
7	5	0.5%
8	4	0.4%
Other values (2)	6	0.6%

Most occurring categories

Value	Count	Frequency (%)
Other Punctuation	858	84.6%
Decimal Number	156	15.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	72	46.2%
1	32	20.5%
2	15	9.6%
3	9	5.8%
6	7	4.5%
4	6	3.8%
7	5	3.2%
8	4	2.6%
5	4	2.6%
9	2	1.3%

Other Punctuation

Value	Count	Frequency (%)
?	787	91.7%
.	71	8.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	1014	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
?	787	77.6%
0	72	7.1%
.	71	7.0%
1	32	3.2%
2	15	1.5%
3	9	0.9%
6	7	0.7%
4	6	0.6%
7	5	0.5%
8	4	0.4%
Other values (2)	6	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1014	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
?	787	77.6%
0	72	7.1%
.	71	7.0%
1	32	3.2%
2	15	1.5%
3	9	0.9%
6	7	0.7%
4	6	0.6%
7	5	0.5%
8	4	0.4%
Other values (2)	6	0.6%

Dx:Cancer
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0	840
1	18

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	858
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	840	97.9%
1	18	2.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	840	97.9%
1	18	2.1%

Most occurring characters

Value	Count	Frequency (%)
0	840	97.9%
1	18	2.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	858	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	840	97.9%
1	18	2.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	858	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	840	97.9%
1	18	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	858	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	840	97.9%
1	18	2.1%

Dx:CIN
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0	849
1	9

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	858
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	849	99.0%
1	9	1.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	849	99.0%
1	9	1.0%

Most occurring characters

Value	Count	Frequency (%)
0	849	99.0%
1	9	1.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	858	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	849	99.0%
1	9	1.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	858	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	849	99.0%
1	9	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	858	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	849	99.0%
1	9	1.0%

Dx:HPV
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0	840
1	18

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	858
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	840	97.9%
1	18	2.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	840	97.9%
1	18	2.1%

Most occurring characters

Value	Count	Frequency (%)
0	840	97.9%
1	18	2.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	858	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	840	97.9%
1	18	2.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	858	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	840	97.9%
1	18	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	858	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	840	97.9%
1	18	2.1%

Dx
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0	834
1	24

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	858
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	834	97.2%
1	24	2.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	834	97.2%
1	24	2.8%

Most occurring characters

Value	Count	Frequency (%)
0	834	97.2%
1	24	2.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	858	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	834	97.2%
1	24	2.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	858	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	834	97.2%
1	24	2.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	858	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	834	97.2%
1	24	2.8%

Hinselmann
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0	823
1	35

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	858
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	823	95.9%
1	35	4.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	823	95.9%
1	35	4.1%

Most occurring characters

Value	Count	Frequency (%)
0	823	95.9%
1	35	4.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	858	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	823	95.9%
1	35	4.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	858	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	823	95.9%
1	35	4.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	858	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	823	95.9%
1	35	4.1%

Schiller
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0	784
1	74

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	858
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	784	91.4%
1	74	8.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	784	91.4%
1	74	8.6%

Most occurring characters

Value	Count	Frequency (%)
0	784	91.4%
1	74	8.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	858	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	784	91.4%
1	74	8.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	858	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	784	91.4%
1	74	8.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	858	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	784	91.4%
1	74	8.6%

Citology
Categorical

IMBALANCE

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0	814
1	44

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	858
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	814	94.9%
1	44	5.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	814	94.9%
1	44	5.1%

Most occurring characters

Value	Count	Frequency (%)
0	814	94.9%
1	44	5.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	858	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	814	94.9%
1	44	5.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	858	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	814	94.9%
1	44	5.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	858	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	814	94.9%
1	44	5.1%

Biopsy
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0	803
1	55

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	858
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	803	93.6%
1	55	6.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	803	93.6%
1	55	6.4%

Most occurring characters

Value	Count	Frequency (%)
0	803	93.6%
1	55	6.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	858	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	803	93.6%
1	55	6.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	858	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	803	93.6%
1	55	6.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	858	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	803	93.6%
1	55	6.4%

Auto

Heatmap
Table

	Age	Number of sexual partners	First sexual intercourse	Num of pregnancies	Smokes (years)	Hormonal Contraceptives (years)	Smokes	Hormonal Contraceptives	IUD	IUD (years)	STDs	STDs (number)	STDs:condylomatosis	STDs:cervical condylomatosis	STDs:vaginal condylomatosis	STDs:vulvo-perineal condylomatosis	STDs:syphilis	STDs:pelvic inflammatory disease	STDs:genital herpes	STDs:molluscum contagiosum	STDs:AIDS	STDs:HIV	STDs:Hepatitis B	STDs:HPV	STDs: Number of diagnosis	STDs: Time since first diagnosis	STDs: Time since last diagnosis	Dx:Cancer	Dx:CIN	Dx:HPV	Dx	Hinselmann	Schiller	Citology	Biopsy
Age	1.000	0.203	0.421	0.462	0.064	0.272	0.000	0.150	0.195	0.365	0.039	0.000	0.026	0.089	0.048	0.030	0.064	0.034	0.031	0.022	0.089	0.032	0.031	0.038	0.000	0.000	0.000	0.083	0.334	0.075	0.200	0.000	0.107	0.000	0.056
Number of sexual partners	0.203	1.000	-0.102	0.155	0.238	0.081	0.261	0.023	0.033	0.000	0.073	0.075	0.111	0.045	0.000	0.112	0.018	0.000	0.000	0.000	0.045	0.000	0.000	0.000	0.032	0.239	0.241	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
First sexual intercourse	0.421	-0.102	1.000	0.003	-0.131	0.114	0.047	0.074	0.033	0.000	0.057	0.000	0.065	0.105	0.099	0.065	0.077	0.048	0.048	0.046	0.105	0.055	0.048	0.068	0.000	0.000	0.000	0.072	0.000	0.053	0.057	0.057	0.055	0.000	0.115
Num of pregnancies	0.462	0.155	0.003	1.000	0.049	0.251	0.025	0.156	0.162	0.085	0.064	0.054	0.063	0.057	0.000	0.058	0.156	0.000	0.000	0.055	0.057	0.000	0.000	0.000	0.000	0.071	0.079	0.000	0.000	0.000	0.000	0.076	0.101	0.000	0.071
Smokes (years)	0.064	0.238	-0.131	0.049	1.000	0.034	0.553	0.000	0.026	0.047	0.086	0.092	0.000	0.000	0.190	0.000	0.000	0.000	0.000	0.000	0.000	0.134	0.203	0.034	0.051	0.149	0.154	0.132	0.000	0.132	0.000	0.076	0.131	0.000	0.048
Hormonal Contraceptives (years)	0.272	0.081	0.114	0.251	0.034	1.000	0.000	0.299	0.165	0.374	0.109	0.020	0.103	0.156	0.091	0.103	0.116	0.088	0.088	0.088	0.156	0.091	0.088	0.135	0.000	0.000	0.000	0.108	0.000	0.108	0.000	0.144	0.165	0.172	0.196
Smokes	0.000	0.261	0.047	0.025	0.553	0.000	1.000	0.060	0.042	0.000	0.087	0.097	0.048	0.000	0.032	0.050	0.057	0.000	0.000	0.000	0.000	0.040	0.046	0.000	0.150	0.196	0.158	0.012	0.000	0.013	0.060	0.000	0.038	0.000	0.000
Hormonal Contraceptives	0.150	0.023	0.074	0.156	0.000	0.299	0.060	1.000	0.653	0.644	0.621	0.620	0.619	0.876	0.620	0.619	0.620	0.619	0.619	0.620	0.876	0.622	0.620	0.620	0.000	0.000	0.000	0.038	0.000	0.009	0.000	0.070	0.106	0.031	0.087
IUD	0.195	0.033	0.033	0.162	0.026	0.165	0.042	0.653	1.000	0.986	0.637	0.638	0.637	0.898	0.635	0.636	0.635	0.634	0.634	0.634	0.898	0.636	0.634	0.634	0.000	0.096	0.113	0.115	0.062	0.047	0.131	0.062	0.120	0.000	0.065
IUD (years)	0.365	0.000	0.000	0.085	0.047	0.374	0.000	0.644	0.986	1.000	0.628	0.388	0.637	0.882	0.624	0.637	0.614	0.612	0.612	0.612	0.882	0.618	0.612	0.612	0.000	0.123	0.173	0.142	0.309	0.081	0.221	0.201	0.227	0.000	0.055
STDs	0.039	0.073	0.057	0.064	0.086	0.109	0.087	0.621	0.637	0.628	1.000	0.998	0.874	0.999	0.722	0.871	0.777	0.710	0.710	0.710	0.999	0.777	0.710	0.714	0.665	0.652	0.652	0.026	0.000	0.026	0.000	0.077	0.139	0.040	0.117
STDs (number)	0.000	0.075	0.000	0.054	0.092	0.020	0.097	0.620	0.638	0.388	0.998	1.000	0.992	0.998	0.811	0.986	0.855	0.714	0.714	0.714	0.998	0.831	0.713	0.724	0.845	0.513	0.481	0.031	0.000	0.031	0.000	0.171	0.165	0.000	0.104
STDs:condylomatosis	0.026	0.111	0.065	0.063	0.000	0.103	0.048	0.619	0.637	0.637	0.874	0.992	1.000	0.999	0.736	0.994	0.707	0.706	0.706	0.706	0.999	0.711	0.706	0.706	0.499	0.533	0.532	0.047	0.000	0.047	0.036	0.080	0.141	0.055	0.098
STDs:cervical condylomatosis	0.089	0.045	0.105	0.057	0.000	0.156	0.000	0.876	0.898	0.882	0.999	0.998	0.999	1.000	0.999	0.999	0.999	0.999	0.999	0.999	0.995	0.999	0.999	0.999	0.095	0.000	0.000	0.025	0.000	0.025	0.000	0.059	0.089	0.000	0.051
STDs:vaginal condylomatosis	0.048	0.000	0.099	0.000	0.190	0.091	0.032	0.620	0.635	0.624	0.722	0.811	0.736	0.999	1.000	0.723	0.706	0.706	0.706	0.706	0.999	0.706	0.706	0.706	0.172	0.235	0.223	0.028	0.000	0.028	0.000	0.062	0.093	0.000	0.053
STDs:vulvo-perineal condylomatosis	0.030	0.112	0.065	0.058	0.000	0.103	0.050	0.619	0.636	0.637	0.871	0.986	0.994	0.999	0.723	1.000	0.707	0.706	0.706	0.706	0.999	0.711	0.706	0.706	0.492	0.527	0.524	0.046	0.000	0.046	0.035	0.081	0.143	0.058	0.100
STDs:syphilis	0.064	0.018	0.077	0.156	0.000	0.116	0.057	0.620	0.635	0.614	0.777	0.855	0.707	0.999	0.706	0.707	1.000	0.706	0.706	0.706	0.999	0.707	0.706	0.706	0.317	0.383	0.393	0.035	0.000	0.035	0.012	0.060	0.090	0.021	0.065
STDs:pelvic inflammatory disease	0.034	0.000	0.048	0.000	0.000	0.088	0.000	0.619	0.634	0.612	0.710	0.714	0.706	0.999	0.706	0.706	0.706	1.000	0.706	0.706	0.999	0.706	0.706	0.706	0.097	0.485	0.485	0.026	0.000	0.026	0.000	0.061	0.091	0.000	0.050
STDs:genital herpes	0.031	0.000	0.048	0.000	0.000	0.088	0.000	0.619	0.634	0.612	0.710	0.714	0.706	0.999	0.706	0.706	0.706	0.706	1.000	0.706	0.999	0.706	0.706	0.706	0.097	0.134	0.118	0.026	0.000	0.026	0.000	0.061	0.091	0.000	0.139
STDs:molluscum contagiosum	0.022	0.000	0.046	0.055	0.000	0.088	0.000	0.620	0.634	0.612	0.710	0.714	0.706	0.999	0.706	0.706	0.706	0.706	0.706	1.000	0.999	0.706	0.706	0.706	0.097	0.134	0.118	0.026	0.000	0.026	0.000	0.061	0.091	0.000	0.050
STDs:AIDS	0.089	0.045	0.105	0.057	0.000	0.156	0.000	0.876	0.898	0.882	0.999	0.998	0.999	0.995	0.999	0.999	0.999	0.999	0.999	0.999	1.000	0.999	0.999	0.999	0.095	0.000	0.000	0.025	0.000	0.025	0.000	0.059	0.089	0.000	0.051
STDs:HIV	0.032	0.000	0.055	0.000	0.134	0.091	0.040	0.622	0.636	0.618	0.777	0.831	0.711	0.999	0.706	0.711	0.707	0.706	0.706	0.706	0.999	1.000	0.725	0.706	0.411	0.460	0.444	0.035	0.043	0.035	0.000	0.107	0.153	0.069	0.133
STDs:Hepatitis B	0.031	0.000	0.048	0.000	0.203	0.088	0.046	0.620	0.634	0.612	0.710	0.713	0.706	0.999	0.706	0.706	0.706	0.706	0.706	0.706	0.999	0.725	1.000	0.706	0.097	0.485	0.485	0.026	0.000	0.026	0.000	0.061	0.091	0.000	0.050
STDs:HPV	0.038	0.000	0.068	0.000	0.034	0.135	0.000	0.620	0.634	0.612	0.714	0.724	0.706	0.999	0.706	0.706	0.706	0.706	0.706	0.706	0.999	0.706	0.706	1.000	0.074	0.217	0.217	0.330	0.000	0.330	0.136	0.061	0.091	0.000	0.051
STDs: Number of diagnosis	0.000	0.032	0.000	0.000	0.051	0.000	0.150	0.000	0.000	0.000	0.665	0.845	0.499	0.095	0.172	0.492	0.317	0.097	0.097	0.097	0.095	0.411	0.097	0.074	1.000	0.680	0.589	0.000	0.000	0.000	0.000	0.158	0.146	0.037	0.102
STDs: Time since first diagnosis	0.000	0.239	0.000	0.071	0.149	0.000	0.196	0.000	0.096	0.123	0.652	0.513	0.533	0.000	0.235	0.527	0.383	0.485	0.134	0.134	0.000	0.460	0.485	0.217	0.680	1.000	0.971	0.000	0.300	0.000	0.174	0.000	0.173	0.098	0.145
STDs: Time since last diagnosis	0.000	0.241	0.000	0.079	0.154	0.000	0.158	0.000	0.113	0.173	0.652	0.481	0.532	0.000	0.223	0.524	0.393	0.485	0.118	0.118	0.000	0.444	0.485	0.217	0.589	0.971	1.000	0.000	0.300	0.000	0.174	0.000	0.168	0.096	0.142
Dx:Cancer	0.083	0.000	0.072	0.000	0.132	0.108	0.012	0.038	0.115	0.142	0.026	0.031	0.047	0.025	0.028	0.046	0.035	0.026	0.026	0.026	0.025	0.035	0.026	0.330	0.000	0.000	0.000	1.000	0.000	0.858	0.640	0.109	0.139	0.089	0.140
Dx:CIN	0.334	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.062	0.309	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.043	0.000	0.000	0.000	0.300	0.300	0.000	1.000	0.000	0.572	0.000	0.000	0.000	0.083
Dx:HPV	0.075	0.000	0.053	0.000	0.132	0.108	0.013	0.009	0.047	0.081	0.026	0.031	0.047	0.025	0.028	0.046	0.035	0.026	0.026	0.026	0.025	0.035	0.026	0.330	0.000	0.000	0.000	0.858	0.000	1.000	0.591	0.109	0.139	0.089	0.140
Dx	0.200	0.000	0.057	0.000	0.000	0.000	0.060	0.000	0.131	0.221	0.000	0.000	0.036	0.000	0.000	0.035	0.012	0.000	0.000	0.000	0.000	0.000	0.000	0.136	0.000	0.174	0.174	0.640	0.572	0.591	1.000	0.042	0.079	0.064	0.139
Hinselmann	0.000	0.000	0.057	0.076	0.076	0.144	0.000	0.070	0.062	0.201	0.077	0.171	0.080	0.059	0.062	0.081	0.060	0.061	0.061	0.061	0.059	0.107	0.061	0.061	0.158	0.000	0.000	0.109	0.000	0.109	0.042	1.000	0.639	0.176	0.535
Schiller	0.107	0.000	0.055	0.101	0.131	0.165	0.038	0.106	0.120	0.227	0.139	0.165	0.141	0.089	0.093	0.143	0.090	0.091	0.091	0.091	0.089	0.153	0.091	0.091	0.146	0.173	0.168	0.139	0.000	0.139	0.079	0.639	1.000	0.351	0.724
Citology	0.000	0.000	0.000	0.000	0.000	0.172	0.000	0.031	0.000	0.000	0.040	0.000	0.055	0.000	0.000	0.058	0.021	0.000	0.000	0.000	0.000	0.069	0.000	0.000	0.037	0.098	0.096	0.089	0.000	0.089	0.064	0.176	0.351	1.000	0.315
Biopsy	0.056	0.000	0.115	0.071	0.048	0.196	0.000	0.087	0.065	0.055	0.117	0.104	0.098	0.051	0.053	0.100	0.065	0.050	0.139	0.050	0.051	0.133	0.050	0.051	0.102	0.145	0.142	0.140	0.083	0.140	0.139	0.535	0.724	0.315	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	Age	Number of sexual partners	First sexual intercourse	Num of pregnancies	Smokes	Smokes (years)	Smokes (packs/year)	Hormonal Contraceptives	Hormonal Contraceptives (years)	IUD	IUD (years)	STDs: Time since first diagnosis	STDs: Time since last diagnosis	Dx:Cancer	Dx:HPV	Dx	Hinselmann	Schiller	Biopsy
0	18	4.0	15.0	1.0	0.0	0.000000	0.0	0.0	0.0	0.0	0.0	?	?	0	0	0	0	0	0
1	15	1.0	14.0	1.0	0.0	0.000000	0.0	0.0	0.0	0.0	0.0	?	?	0	0	0	0	0	0
2	34	1.0	0.0	1.0	0.0	0.000000	0.0	0.0	0.0	0.0	0.0	?	?	0	0	0	0	0	0
3	52	5.0	16.0	4.0	1.0	37.000000	37.0	1.0	3.0	0.0	0.0	?	?	1	1	0	0	0	0
4	46	3.0	21.0	4.0	0.0	0.000000	0.0	1.0	15.0	0.0	0.0	?	?	0	0	0	0	0	0
5	42	3.0	23.0	2.0	0.0	0.000000	0.0	0.0	0.0	0.0	0.0	?	?	0	0	0	0	0	0
6	51	3.0	17.0	6.0	1.0	34.000000	3.4	0.0	0.0	1.0	7.0	?	?	0	0	0	1	1	1
7	26	1.0	26.0	3.0	0.0	0.000000	0.0	1.0	2.0	1.0	7.0	?	?	0	0	0	0	0	0
8	45	1.0	20.0	5.0	0.0	0.000000	0.0	0.0	0.0	0.0	0.0	?	?	1	1	1	0	0	0
9	44	3.0	15.0	0.0	1.0	1.266973	2.8	0.0	0.0	?	?	?	?	0	0	0	0	0	0

	Age	Number of sexual partners	First sexual intercourse	Num of pregnancies	Smokes	Smokes (years)	Smokes (packs/year)	Hormonal Contraceptives	Hormonal Contraceptives (years)	STDs	STDs (number)	STDs:HPV	STDs: Time since first diagnosis	STDs: Time since last diagnosis	Dx:Cancer	Dx:HPV	Citology
848	31	3.0	18.0	1.0	0.0	0.0	0.0	1.0	0.50	0.0	0.0	0.0	?	?	0	0	0
849	32	3.0	18.0	1.0	1.0	11.0	0.16	1.0	6.00	1.0	1.0	1.0	?	?	1	1	0
850	19	1.0	14.0	0.0	0.0	0.0	0.0	0.0	0.00	0.0	0.0	0.0	?	?	0	0	0
851	23	2.0	15.0	2.0	0.0	0.0	0.0	0.0	0.00	0.0	0.0	0.0	?	?	0	0	0
852	43	3.0	17.0	3.0	0.0	0.0	0.0	1.0	5.00	0.0	0.0	0.0	?	?	0	0	0
853	34	3.0	18.0	0.0	0.0	0.0	0.0	0.0	0.00	0.0	0.0	0.0	?	?	0	0	0
854	32	2.0	19.0	1.0	0.0	0.0	0.0	1.0	8.00	0.0	0.0	0.0	?	?	0	0	0
855	25	2.0	17.0	0.0	0.0	0.0	0.0	1.0	0.08	0.0	0.0	0.0	?	?	0	0	1
856	33	2.0	24.0	2.0	0.0	0.0	0.0	1.0	0.08	0.0	0.0	0.0	?	?	0	0	0
857	29	2.0	20.0	1.0	0.0	0.0	0.0	1.0	0.50	0.0	0.0	0.0	?	?	0	0	0

Most frequently occurring

	Age	Number of sexual partners	First sexual intercourse	Num of pregnancies	Hormonal Contraceptives	Hormonal Contraceptives (years)	IUD	IUD (years)	STDs	STDs (number)	STDs:condylomatosis	STDs:cervical condylomatosis	STDs:vaginal condylomatosis	STDs:vulvo-perineal condylomatosis	STDs:syphilis	STDs:pelvic inflammatory disease	STDs:genital herpes	STDs:molluscum contagiosum	STDs:AIDS	STDs:HIV	STDs:Hepatitis B	STDs:HPV	STDs: Time since first diagnosis	STDs: Time since last diagnosis	# duplicates
0	15	1.0	14.0	1.0	0.0	0.00	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	?	?	4
7	17	2.0	15.0	1.0	0.0	0.00	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	?	?	3
1	15	1.0	15.0	1.0	?	0.00	?	?	?	?	?	?	?	?	?	?	?	?	?	?	?	?	?	?	2
2	15	2.0	14.0	1.0	0.0	0.00	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	?	?	2
3	16	1.0	14.0	1.0	0.0	0.00	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	?	?	2
4	16	1.0	15.0	1.0	0.0	0.00	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	?	?	2
5	17	1.0	16.0	1.0	?	0.00	?	?	?	?	?	?	?	?	?	?	?	?	?	?	?	?	?	?	2
6	17	1.0	17.0	1.0	0.0	0.00	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	?	?	2
8	17	2.0	15.0	1.0	1.0	0.33	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	?	?	2
9	18	1.0	14.0	2.0	0.0	0.00	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	?	?	2

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks